from bls.recipe_parser import parse_fddb_lists_csv, parse_fddb_produkte
from data_layer.food_mapping import normalize_food_name


PORRIDGE = (
    "160 g Apfel, Braeburn, 5 ml Omega-3 Vegan Algenöl, 100 g Wildheidelbeeren, "
    "30 g Haferflocken, 100% Hafer-Vollkorn, 40 g Hafer Flocken, Großblatt, 11 g Flohsamenschalen"
)


def test_parse_fddb_produkte_splits_on_next_quantity_not_commas():
    ings = parse_fddb_produkte(PORRIDGE)
    names = [i["source_name_raw"] for i in ings]
    assert names == [
        "Apfel, Braeburn",
        "Omega-3 Vegan Algenöl",
        "Wildheidelbeeren",
        "Haferflocken, 100% Hafer-Vollkorn",
        "Hafer Flocken, Großblatt",
        "Flohsamenschalen",
    ]
    assert ings[0]["quantity_g"] == 160.0
    assert ings[1]["quantity_g"] == 5.0
    assert ings[1]["quantity_raw"] == "5 ml"


def test_parse_fddb_lists_csv_porridge_and_portions():
    text = (
        "name;beschreibung;anzahl_portionen;zeit_vorbereitung;zeit_kochen;produkte;\n"
        '"!PorridgeBreakfast ";"";"1";"0";"0";"' + PORRIDGE + '";\n'
        '"Aloo gobi";"";"4";"0";"0";"32 ml Rapso Rapsöl, 83 g Zwiebel, frisch";\n'
    )
    recipes = parse_fddb_lists_csv(text)
    assert len(recipes) == 2
    assert recipes[0]["name_raw"] == "!PorridgeBreakfast"
    assert recipes[0]["name_normalized"] == normalize_food_name("PorridgeBreakfast")
    assert len(recipes[0]["ingredients"]) == 6
    assert recipes[1]["portions"] == 4.0
    assert recipes[1]["ingredients"][0]["source_name_raw"] == "Rapso Rapsöl"


def test_normalize_strips_list_bang_prefix():
    assert normalize_food_name("!PorridgeBreakfast") == normalize_food_name("PorridgeBreakfast")